Name
Title | ||
|---|---|---|
Simplifying Accessibility Without Data Loss: An Exploratory Study On Object Preserving Keyframe Culling |
Abstract | ||
|---|---|---|
Our approach to multimedia big data is based on data reduction and processing techniques for the extraction of the most relevant information in form of instances of five different object classes selected from the TRECVid Evaluation campaign on a shot-level basis on 4 h of video footage from the BBC EastEnders series. In order to reduce the amount of data to be processed, we apply an adaptive extraction scheme that varies in the number of representative keyframes. Still, many duplicates of the scenery can be found. Within a cascaded exploratory study of four tasks, we show the opportunity to reduce the representative data, i.e. the number of extracted keyframes, by up to 84% while maintaining more than 82% of the appearing instances of object classes. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-40238-3_47 | UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: USERS AND CONTEXT DIVERSITY, PT III |
Keywords | Field | DocType |
Multimedia analysis, Duplicate detection, Human inspired data reduction algorithms, Data reduction strategies, Big data, Object detection, Instance Search, Rapid evaluation | Object detection,Computer vision,Culling,Data loss,TRECVID,Computer science,Artificial intelligence,Big data,Exploratory research,Multimedia big data,Data reduction | Conference |
Volume | ISSN | Citations |
9739 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Ritter | 1 | 21 | 15.52 |
| Danny Kowerko | 2 | 0 | 3.72 |
| Hussein Hussein | 3 | 0 | 0.34 |
| Manuel Heinzig | 4 | 1 | 0.77 |
| Tobias Schlosser | 5 | 0 | 1.01 |
| Robert Manthey | 6 | 5 | 3.72 |
| Gisela Susanne Bahr | 7 | 13 | 4.22 |